Guohua Mao

39 total papers · 524 total citations
18 papers, 159 citations indexed

About

Guohua Mao is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Rheumatology. According to data from OpenAlex, Guohua Mao has authored 18 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Rheumatology. Recurrent topics in Guohua Mao's work include Intracranial Aneurysms: Treatment and Complications (13 papers), Moyamoya disease diagnosis and treatment (8 papers) and Cerebrovascular and Carotid Artery Diseases (8 papers). Guohua Mao is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (13 papers), Moyamoya disease diagnosis and treatment (8 papers) and Cerebrovascular and Carotid Artery Diseases (8 papers). Guohua Mao collaborates with scholars based in China and United States. Guohua Mao's co-authors include Huaizhang Shi, Yunyan Wang, Wenfeng Feng, Donglei Song, Jieqing Wan, Hongqi Zhang, Sheng Guan, Bin Luo, Aisha Maimaitili and Jianmin Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neuroreport and Cell Death and Disease.

In The Last Decade

Guohua Mao

16 papers receiving 159 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guohua Mao 126 83 34 14 12 18 159
Arda Şakir Yılmaz 64 0.5× 57 0.7× 15 0.4× 26 1.9× 9 0.8× 18 176
Masahiro Uemura 94 0.7× 33 0.4× 27 0.8× 25 1.8× 6 0.5× 24 179
Mark K. Bakker 101 0.8× 45 0.5× 38 1.1× 33 2.4× 13 1.1× 11 173
Aisha Maimaitili 188 1.5× 119 1.4× 41 1.2× 26 1.9× 14 1.2× 21 256
Tuğsan Ballı 83 0.7× 66 0.8× 29 0.9× 33 2.4× 23 1.9× 15 167
Shahram Derakhshani 160 1.3× 89 1.1× 33 1.0× 2 0.1× 7 0.6× 11 173
Cristiano Azzini 140 1.1× 78 0.9× 52 1.5× 14 1.0× 15 1.3× 17 254
Jean Khoury 63 0.5× 40 0.5× 27 0.8× 20 1.4× 15 1.3× 17 147
Antonio Laiso 217 1.7× 129 1.6× 35 1.0× 8 0.6× 8 0.7× 17 249
Donato D’Alonzo 67 0.5× 32 0.4× 7 0.2× 81 5.8× 22 1.8× 15 188

Countries citing papers authored by Guohua Mao

Since Specialization
Citations

This map shows the geographic impact of Guohua Mao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Guohua Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guohua Mao more than expected).

Fields of papers citing papers by Guohua Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guohua Mao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Guohua Mao. The network helps show where Guohua Mao may publish in the future.

Co-authorship network of co-authors of Guohua Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Guohua Mao. A scholar is included among the top collaborators of Guohua Mao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guohua Mao. Guohua Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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